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What are the key components of a genetic algorithm?


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The key components of a genetic algorithm are a population of candidate solutions, a fitness function used to assess the quality of these solutions, a selection process which selects high-performing solutions to be used in the next generation, a genetic variation operator which introduces diversity within the population, and a loop which continuously repeats the selection and variation steps until a certain condition or criteria is met.